Original paper
Default “Gunel and Dickey” Bayes factors for contingency tables
Abstract
The analysis of R×C contingency tables usually features a test for independence between row and column counts. Throughout the social sciences, the adequacy of the independence hypothesis is generally evaluated by the outcome of a classical p-value null-hypothesis significance test. Unfortunately, however, the classical p-value comes with a number of well-documented drawbacks. Here we outline an alternative, Bayes factor method to quantify the...
Paper Details
Title
Default “Gunel and Dickey” Bayes factors for contingency tables
Published Date
Jun 20, 2016
Journal
Volume
49
Issue
2
Pages
638 - 652
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Notes
History